Model output from Binny et al, 2023, describing the sensitivity of COVID PCR tests over the course of an infection.
data("pcr_test_sensitivity")An object of class list of length 2.
pcr_test_sensitivity named list with 2 items
modelled (df modelled*) Original model output from supplementary
resampled (df resampled*) resampled and reformatted data
df modelled dataframe with 501 rows and 4 columns
days_since_infection (dbl) days since infection
median (dbl) median sensitivity
lower_95 (dbl) lower 95% CI of sensitivity
upper_95 (dbl) upper 95% CI of sensitivity
df resampled dataframe with 5100 rows and 3 columns
tau (dbl) days since infection
probability (dbl) the sensitivity as a probability of detection
boot (int) a bootstrap identifier
Rachelle N Binny, Patricia Priest, Nigel P French, Matthew Parry, Audrey Lustig, Shaun C Hendy, Oliver J Maclaren, Kannan M Ridings, Nicholas Steyn, Giorgia Vattiato, Michael J Plank, Sensitivity of Reverse Transcription Polymerase Chain Reaction Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Through Time, The Journal of Infectious Diseases, Volume 227, Issue 1, 1 January 2023, Pages 9–17, https://doi.org/10.1093/infdis/jiac317